PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (412 utterances, 1,673 words searched).

  1. why don't you talk ? MOT · eng_USA_Brown/adam15.cha, line 141 · Adam 2;10
  2. oh # no why don't you stay out here ? MOT · eng_USA_Brown/adam15.cha, line 738 · Adam 2;10
  3. why not ? MOT · eng_USA_Brown/adam15.cha, line 744 · Adam 2;10
  4. oh # why not ? RIC · eng_USA_Brown/adam15.cha, line 852 · Adam 2;10
  5. why not ? MOT · eng_USA_Brown/adam15.cha, line 885 · Adam 2;10
  6. well # why don't you put those three back ? MOT · eng_USA_Brown/adam15.cha, line 1027 · Adam 2;10
  7. why are you doing that ? MOT · eng_USA_Brown/adam15.cha, line 1525 · Adam 2;10
  8. why not ? MOT · eng_USA_Brown/adam15.cha, line 1954 · Adam 2;10
  9. why don't you tell Urs(u)la what you have in your bag . URS · eng_USA_Brown/adam15.cha, line 2416 · Adam 2;10
  1. MOTtalk !
    CHIyes .
    MOT*MOT: why don't you talk ?
    CHItalk # to him ?
    CHIwant some too .
  2. CHIyes .
    CHIwant go .
    MOT*MOT: oh # no why don't you stay out here ?
    CHIno .
    MOTwhy not ?
  3. MOToh # no why don't you stay out here ?
    CHIno .
    MOT*MOT: why not ?
    MOTI'm all finished .
    MOTxxx .
  4. RICyou going to talk on the telephone ?
    CHIno .
    RIC*RIC: oh # why not ?
    CHIdat Paul .
    CHIPaul Douglas .
  5. CHIno good .
    MOTno good ?
    MOT*MOT: why not ?
    CHIno # good # Paul .
    MOTno # Adam # you just shoot .
  6. CHIwhy not ?
    CHIwant have two .
    MOT*MOT: well # why don't you put those three back ?
    CHIok # sir .
    MOTput the coffee cups back .
  7. CHIbusy busy .
    CHIbusy # Mommy .
    MOT*MOT: why are you doing that ?
    CHIouch # sir .
    CHIwant some coffee .
  8. CHIdon't hurry .
    MOTdon't hurry ?
    MOT*MOT: why not ?
    CHIslipperys@n [?] .
    MOTwhat ?
  9. URSwhat about the little toys in the wagon ?
    CHIwhat else ?
    URS*URS: why don't you tell Urs(u)la what you have in your bag .
    URSsee # you have a bag over there .
    URSwhat's in your bag ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Adam eng_USA_Brown5.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam15.chaAdam 2;10.021,673995.38

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. why9 · 100.0%